AARIB AZFARAA
Open to opportunities

AARIB AZFAR

@aaribazfar

Enthusiastic AI/ML Developer with hands-on experience in software engineering.

United Arab Emirates

What I'm looking for

I am looking for opportunities that foster growth in AI/ML, with a focus on innovative projects and collaborative environments.

I am an enthusiastic AI/ML Developer with over 6 months of hands-on experience in software engineering and AI/ML roles. My proficiency in Python, coupled with a strong foundation in deep learning frameworks such as TensorFlow, allows me to design, train, and deploy machine learning models effectively. I have a particular focus on image processing and computer vision applications, which has enabled me to contribute significantly to various projects.

In my current role as an AI Engineer at Mazik Global, I have automated data gathering tasks in the manufacturing sector, increasing accuracy by 50%. My previous internship at Inovako involved implementing the Pix2Pix GAN architecture, resulting in a 50% increase in dataset size. Additionally, I have successfully managed freelance projects on Fiverr, where I built streamlined AI/ML models for clients, enhancing project success rates by 50%.

Experience

Work history, roles, and key accomplishments

FI
Current

AI/ML Developer

Fiverr

Jun 2023 - Present (1 year 11 months)

As a Freelance AI/ML Developer on Fiverr, I built streamlined AI/ML models for various clients, resulting in improved accuracy and a 50% increase in project success rate by managing diverse client requirements effectively.

MG
Current

AI Engineer

Mazik Global

Sep 2023 - Present (1 year 8 months)

As an AI Engineer, I automated data gathering tasks in the manufacturing sector, increasing accuracy by 50%. I worked on computer vision solutions using Python and managed REST API interactions and database handling.

IN

Deep Learning & Computer Vision Intern

Inovako

Jun 2023 - Aug 2023 (2 months)

During my internship at Inovako, I implemented the Pix2Pix GAN architecture, increasing the dataset by 50%. I also worked on Stable Diffusion and built various generative computer vision models, delivering complex projects on time.

Education

Degrees, certifications, and relevant coursework

FAST National University of Computer and Emerging Sciences logoFS

FAST National University of Computer and Emerging Sciences

Bachelor of Science, Computer Science

2021 - 2025

Grade: 3.3 CGPA

Activities and societies: Achieved Deans List for Fall 2023, Fall 2022 Semester, House Winner in Competitive Programming, Coders Cup 2023.

Relevant coursework in Data Structures and Software Engineering. Specialization in AI and Deep Learning. Excellent Academic Record with 3.3 CGPA with multiple honors.

Tech stack

Software and tools used professionally

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